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Kagi — 技能工具

v0.1.0

[自动翻译] Perform web searches and generate summarized answers with citations using the Kagi API and FastGPT for higher-quality results or rate-limit fallback.

0· 1,369·3 当前·3 累计
by @michaelasper·MIT-0
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License
MIT-0
最后更新
2026/3/1
安全扫描
VirusTotal
无害
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OpenClaw
可疑
high confidence
The skill implements a straightforward Kagi API client, but the package metadata omits the required API token and primary credential — this mismatch is incoherent and worth attention before installing.
评估建议
This skill appears to be a legitimate Kagi API client, but the package metadata fails to declare the required API token. Before installing: 1) Treat the KAGI_API_TOKEN as a secret — the scripts will send it to https://kagi.com/api/v0, which is expected for this skill. 2) Prefer the author update the skill metadata to list KAGI_API_TOKEN (and mark it as the primary credential) so automated permission checks are accurate. 3) Review the included scripts yourself (they are short and readable) to con...
详细分析 ▾
⚠ 用途与能力
The included Python scripts and SKILL.md clearly implement a Kagi Search + FastGPT client (calling https://kagi.com/api/v0). That matches the implied purpose, but the skill metadata declares no required environment variables or primary credential even though the code requires a KAGI_API_TOKEN (and also accepts KAGI_API_KEY as a fallback). The missing declaration is an incoherence between purpose and declared requirements.
ℹ 指令范围
SKILL.md instructs the user to export KAGI_API_TOKEN and run the provided scripts; the runtime instructions stay within the advertised scope (making HTTP calls to the Kagi API and printing/summarizing results). There is no instruction to read unrelated files or contact endpoints other than kagi.com. Note: the instructions assume an API token even though metadata doesn't list it.
✓ 安装机制
This is an instruction-only skill with small local Python scripts and no install spec or external downloads. No archive extraction or remote installers are used, which minimizes install risk.
⚠ 凭证需求
Although the only secret the code needs is the KAGI_API_TOKEN (reasonable for this purpose), the skill metadata lists zero required env vars and no primary credential. The code also accepts an alternate env name (KAGI_API_KEY). The omission in metadata is a discrepancy that could confuse users and permissioning systems; otherwise the requested credential is proportional to the skill's functionality and is only sent to Kagi's API.
✓ 持久化与权限
Skill flags are normal (not always:true). The skill does not request persistent system privileges, modify other skills, or write installers; it simply contains local scripts invoked at runtime.
安全有层次，运行前请审查代码。

License

MIT-0

可自由使用、修改和再分发，无需署名。

运行时依赖

无特殊依赖

版本

latestv0.1.02026/2/8

Kagi skill v0.1.0 - Initial release: Integrates Kagi Search API and FastGPT for enhanced web research. - Provides Python scripts for both ranked search results and LLM-powered web answers with citations. - Supports programmatic web search and summarization via command-line interface. - Includes setup instructions for API token usage and example commands. - Suggested as an alternative when Brave Search is rate-limited or higher-quality results are needed.

● 无害

安装命令 点击复制

官方npx clawhub@latest install kagi
镜像加速npx clawhub@latest install kagi --registry https://cn.clawhub-mirror.com

技能文档

Use the bundled Python scripts to call Kagi’s API from the OpenClaw host.

Quick start

1) Create a token in https://kagi.com/settings/api 2) Export it for your shell/session:

export KAGI_API_TOKEN='…'

3) Run a search:

python3 scripts/kagi_search.py "haaps glass" --limit 10 --json

4) Or ask FastGPT (LLM + web search):

python3 scripts/kagi_fastgpt.py "Summarize the latest Haaps glass mentions" --json

Tasks

1) Web search (Kagi Search API)

Use when you need a normal ranked list of results (URLs/titles/snippets).

Command:

python3 scripts/kagi_search.py "" [--limit N] [--json]

Notes:

  • Defaults to printing a readable digest; use --json for raw API output.
  • The script automatically sets Authorization: Bot .

2) Answer/summarize with citations (FastGPT)

Use when you want a short answer grounded in web results, including reference URLs.

Command:

python3 scripts/kagi_fastgpt.py "" [--cache true|false] [--json]

3) Using Kagi as a drop-in for web_search

If Brave Search is rate-limited (429) or you want better results:

  • Use scripts/kagi_search.py to fetch results
  • Then use the main agent model to synthesize / summarize based on the returned URLs/snippets

Files

  • API reference snippets: references/kagi-api.md
  • Python client + CLIs: scripts/kagi_client.py, scripts/kagi_search.py, scripts/kagi_fastgpt.py
数据来源：ClawHub ↗ · 中文优化：龙虾技能库
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